 Methodology articleInferring activity changes of transcription factors by binding association with sorted expression profilesChao Cheng1* 1 Molecular and Computational Biology Program, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089-2910, USA 2 Department of Mathematics, University of Southern California, Los Angeles, CA, 90089-2532, USA
BMC Bioinformatics 2007, 8:452doi:10.1186/1471-2105-8-452
Additional filesAdditional file 1: AC scores and their significance for perturbed TFs in deletion TFPEs. Format: XLS Size: 23KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 2: AC scores and their significance for perturbed TFs in over-expression TFPEs. Format: XLS Size: 30KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 3: Significance of TF activity changes in deletion TFPEs inferred by using Tsai et al.'s method [8]. Format: XLS Size: 24KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 4: Significance of TF activity changes in over-expression TFPEs inferred by using Tsai et al.'s method [8]. Format: XLS Size: 26KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 5: AC scores and their significance for the 537 motifs in the long-lived mutants. These motifs are identified from promoter regions of all yeast transcripts by Beer et al. [24]. Format: XLS Size: 148KB Download file This file can be viewed with: Microsoft Excel Viewer |
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